The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Report Printed On 

## [1] "2020-04-19"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "2401379 (up from 2317759 yesterday: 3.61 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "165044 (up from 159510 yesterday: 3.47 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.87



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 759086 26889 3.67 40661 1997 5.17 5.36
Spain 198674 6948 3.62 20453 410 2.05 10.29
Italy 178972 3047 1.73 23660 433 1.86 13.22
France 154097 4948 3.32 19744 399 2.06 12.81
Germany 145184 1842 1.29 4586 127 2.85 3.16
United Kingdom 121172 5858 5.08 16095 597 3.85 13.28
Turkey 86306 3977 4.83 2017 127 6.72 2.34
China 83805 18 0.02 4636 0 0.00 5.53
Iran 82211 1343 1.66 5118 87 1.73 6.23
Russia 42853 6060 16.47 361 48 15.34 0.84
Brazil 38654 1996 5.44 2462 108 4.59 6.37
Belgium 38496 1313 3.53 5683 230 4.22 14.76
Canada 35633 1277 3.72 1564 164 11.71 4.39
Netherlands 32838 1072 3.37 3697 84 2.32 11.26
Switzerland 27740 336 1.23 1393 25 1.83 5.02
Portugal 20206 521 2.65 714 27 3.93 3.53
India 17615 1893 12.04 559 38 7.29 3.17
Peru 15628 1208 8.38 400 52 14.94 2.56
Ireland 15251 493 3.34 610 39 6.83 4.00
Austria 14749 78 0.53 452 9 2.03 3.06
Sweden 14385 563 4.07 1540 29 1.92 10.71
Israel 13491 226 1.70 172 8 4.88 1.27
Japan 10797 501 4.87 236 14 6.31 2.19
Korea, South 10661 8 0.08 234 2 0.86 2.19
Chile 10088 358 3.68 133 7 5.56 1.32
Ecuador 9468 446 4.94 474 18 3.95 5.01
Saudi Arabia 9362 1088 13.15 97 5 5.43 1.04
Poland 9287 545 6.23 360 13 3.75 3.88
Romania 8746 328 3.90 451 30 7.13 5.16
Pakistan 8348 710 9.30 168 25 17.48 2.01
Denmark 7580 143 1.92 355 9 2.60 4.68
Mexico 7497 622 9.05 650 104 19.05 8.67
Norway 7078 42 0.60 165 1 0.61 2.33
United Arab Emirates 6781 479 7.60 41 4 10.81 0.60
Czechia 6746 140 2.12 186 5 2.76 2.76
Singapore 6588 596 9.95 11 0 0.00 0.17
Indonesia 6575 327 5.23 582 47 8.79 8.85
Australia 6547 0 0.00 67 0 0.00 1.02
Serbia 6318 324 5.41 122 5 4.27 1.93
Philippines 6259 172 2.83 409 12 3.02 6.53
Ukraine 5449 343 6.72 141 8 6.02 2.59
Qatar 5448 440 8.79 8 0 0.00 0.15
Malaysia 5389 84 1.58 89 1 1.14 1.65
Belarus 4779 0 0.00 47 2 4.44 0.98
Dominican Republic 4680 345 7.96 226 9 4.15 4.83
Panama 4273 63 1.50 120 4 3.45 2.81
Colombia 3792 353 10.26 179 26 16.99 4.72
Finland 3783 102 2.77 94 4 4.44 2.48
Luxembourg 3550 13 0.37 73 1 1.39 2.06
South Africa 3158 124 4.09 54 2 3.85 1.71
Egypt 3144 112 3.69 239 15 6.70 7.60
Morocco 2855 170 6.33 141 4 2.92 4.94
Argentina 2839 81 2.94 132 3 2.33 4.65
Thailand 2765 32 1.17 47 0 0.00 1.70
Algeria 2629 95 3.75 375 8 2.18 14.26
Moldova 2472 94 3.95 67 10 17.54 2.71
Bangladesh 2456 312 14.55 91 7 8.33 3.71
Greece 2235 0 0.00 113 3 2.73 5.06
Hungary 1916 82 4.47 189 17 9.88 9.86
Kuwait 1915 164 9.37 7 1 16.67 0.37
Bahrain 1881 108 6.09 7 0 0.00 0.37
Croatia 1871 39 2.13 47 8 20.51 2.51
Iceland 1771 11 0.62 9 0 0.00 0.51
Kazakhstan 1676 61 3.78 17 0 0.00 1.01
Uzbekistan 1565 75 5.03 5 0 0.00 0.32
Iraq 1539 26 1.72 82 0 0.00 5.33
Estonia 1528 16 1.06 40 2 5.26 2.62
New Zealand 1431 9 0.63 12 1 9.09 0.84
Azerbaijan 1398 25 1.82 19 1 5.56 1.36
Slovenia 1330 13 0.99 74 4 5.71 5.56
Lithuania 1298 59 4.76 35 2 6.06 2.70
Armenia 1291 43 3.45 20 0 0.00 1.55
Bosnia and Herzegovina 1285 17 1.34 48 1 2.13 3.74
Oman 1266 86 7.29 7 1 16.67 0.55
North Macedonia 1207 37 3.16 51 2 4.08 4.23
Slovakia 1161 72 6.61 12 1 9.09 1.03
Ghana 1042 208 24.94 9 0 0.00 0.86
Cuba 1035 49 4.97 34 2 6.25 3.29
Cameroon 1017 0 0.00 42 20 90.91 4.13

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 247815 6103 2.52 18298 627 3.55 7.38 12738.80 940.60 1 in 79
New Jersey 85301 3881 4.77 4362 292 7.17 5.11 9603.60 491.10 1 in 104
Massachusetts 38077 1705 4.69 1706 302 21.51 4.48 5479.10 245.49 1 in 183
Pennsylvania 32902 1250 3.95 1276 234 22.46 3.88 2570.07 99.67 1 in 389
California 31431 940 3.08 1177 37 3.25 3.74 795.48 29.79 1 in 1257
Michigan 31424 633 2.06 2391 83 3.60 7.61 3146.54 239.41 1 in 318
Illinois 30357 1197 4.10 1290 31 2.46 4.25 2395.63 101.80 1 in 417
Florida 26314 822 3.22 774 26 3.48 2.94 1225.18 36.04 1 in 816
Louisiana 23928 348 1.48 1296 29 2.29 5.42 5147.14 278.78 1 in 194
Texas 19260 556 2.97 490 14 2.94 2.54 664.23 16.90 1 in 1505
Georgia 18301 632 3.58 687 14 2.08 3.75 1723.68 64.70 1 in 580
Connecticut 17962 412 2.35 1127 41 3.78 6.27 5038.02 316.10 1 in 198
Maryland 12847 521 4.23 461 40 9.50 3.59 2124.99 76.25 1 in 471
Washington 12255 479 4.07 636 23 3.75 5.19 1609.35 83.52 1 in 621
Ohio 11602 1380 13.50 471 20 4.43 4.06 992.55 40.29 1 in 1008
Indiana 11211 570 5.36 562 17 3.12 5.01 1665.28 83.48 1 in 601
Colorado 9730 683 7.55 420 31 7.97 4.32 1689.61 72.93 1 in 592
Virginia 8542 489 6.07 277 19 7.36 3.24 1000.76 32.45 1 in 999
Tennessee 7070 481 7.30 148 6 4.23 2.09 1034.66 21.66 1 in 967
North Carolina 6601 273 4.31 200 13 6.95 3.03 629.38 19.07 1 in 1589
Missouri 5743 164 2.94 199 2 1.02 3.47 935.73 32.42 1 in 1069
Arizona 4933 209 4.42 184 4 2.22 3.73 647.81 24.16 1 in 1544
Alabama 4888 176 3.74 157 4 2.61 3.21 996.90 32.02 1 in 1003
Rhode Island 4706 215 4.79 150 13 9.49 3.19 4442.30 141.59 1 in 225
South Carolina 4377 129 3.04 120 1 0.84 2.74 850.12 23.31 1 in 1176
Wisconsin 4346 147 3.50 220 8 3.77 5.06 746.42 37.78 1 in 1340
Mississippi 4274 300 7.55 159 7 4.61 3.72 1436.08 53.42 1 in 696
Nevada 3728 102 2.81 158 7 4.64 4.24 1210.33 51.30 1 in 826
Utah 3069 152 5.21 27 2 8.00 0.88 957.28 8.42 1 in 1045
Kentucky 2960 253 9.35 146 2 1.39 4.93 662.54 32.68 1 in 1509
Iowa 2902 389 15.48 75 1 1.35 2.58 919.79 23.77 1 in 1087
District of Columbia 2793 127 4.76 96 5 5.49 3.44 3957.50 136.03 1 in 253
Oklahoma 2567 102 4.14 140 4 2.94 5.45 648.73 35.38 1 in 1541
Delaware 2538 0 0.00 67 0 0.00 2.64 2606.38 68.81 1 in 384
Minnesota 2356 147 6.65 134 13 10.74 5.69 417.76 23.76 1 in 2394
Oregon 1910 66 3.58 74 2 2.78 3.87 452.85 17.54 1 in 2208
Kansas 1905 84 4.61 93 8 9.41 4.88 653.89 31.92 1 in 1529
New Mexico 1845 47 2.61 55 2 3.77 2.98 879.90 26.23 1 in 1136
Arkansas 1781 37 2.12 39 1 2.63 2.19 590.16 12.92 1 in 1694
Idaho 1668 13 0.79 44 1 2.33 2.64 930.77 24.55 1 in 1074
South Dakota 1635 93 6.03 7 0 0.00 0.43 1848.17 7.91 1 in 541
Nebraska 1474 225 18.01 28 4 16.67 1.90 761.99 14.47 1 in 1312
New Hampshire 1390 48 3.58 38 0 0.00 2.73 1022.28 27.95 1 in 978
Puerto Rico 1213 95 8.50 62 2 3.33 5.11 379.81 19.41 1 in 2633
West Virginia 890 105 13.38 18 2 12.50 2.02 498.00 10.07 1 in 2008
Maine 867 20 2.36 34 2 6.25 3.92 644.99 25.29 1 in 1550
Vermont 813 10 1.25 38 0 0.00 4.67 1302.91 60.90 1 in 768
North Dakota 585 57 10.80 9 0 0.00 1.54 767.65 11.81 1 in 1303
Hawaii 580 6 1.05 10 1 11.11 1.72 409.64 7.06 1 in 2441
Montana 433 7 1.64 10 0 0.00 2.31 405.14 9.36 1 in 2468
Alaska 319 5 1.59 9 0 0.00 2.82 436.06 12.30 1 in 2293
Wyoming 313 4 1.29 2 0 0.00 0.64 540.81 3.46 1 in 1849

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 4200 552 15.13 507 12.07 3470 223 12 5.69 5.31
Delhi 2003 110 5.81 290 14.48 1668 45 2 4.65 2.25
Gujarat 1743 367 26.67 105 6.02 1575 63 10 18.87 3.61
Rajasthan 1478 127 9.40 205 13.87 1250 23 2 9.52 1.56
Tamil Nadu 1477 105 7.65 411 27.83 1051 15 0 0.00 1.02
Madhya Pradesh 1407 5 0.36 131 9.31 1204 72 3 4.35 5.12
Uttar Pradesh 1100 126 12.94 127 11.55 956 17 3 21.43 1.55
Telangana 858 49 6.06 186 21.68 651 21 3 16.67 2.45
Andhra Pradesh 647 44 7.30 65 10.05 565 17 1 6.25 2.63
Kerala 401 2 0.50 270 67.33 129 2 0 0.00 0.50
Karnataka 390 6 1.56 111 28.46 263 16 2 14.29 4.10
Jammu and Kashmir 354 13 3.81 56 15.82 293 5 0 0.00 1.41
West Bengal 310 23 8.01 62 20.00 236 12 0 0.00 3.87
Haryana 250 18 7.76 104 41.60 143 3 0 0.00 1.20
Punjab 244 10 4.27 37 15.16 191 16 0 0.00 6.56
Bihar 96 10 11.63 42 43.75 52 2 0 0.00 2.08
Odisha 61 0 0.00 24 39.34 36 1 0 0.00 1.64
Uttarakhand 44 2 4.76 11 25.00 33 0 0 NaN 0.00
Jharkhand 41 8 24.24 0 0.00 39 2 0 0.00 4.88
Himachal Pradesh 39 0 0.00 16 41.03 21 2 0 0.00 5.13
Chhattisgarh 36 0 0.00 25 69.44 11 0 0 NaN 0.00
Assam 34 0 0.00 17 50.00 16 1 0 0.00 2.94
Chandigarh 26 3 13.04 13 50.00 13 0 0 NaN 0.00
Ladakh 18 0 0.00 14 77.78 4 0 0 NaN 0.00
Andaman and Nicobar Islands 15 1 7.14 11 73.33 4 0 0 NaN 0.00
Meghalaya 11 0 0.00 0 0.00 10 1 0 0.00 9.09
Goa 7 0 0.00 7 100.00 0 0 0 NaN 0.00
Puducherry 7 0 0.00 4 57.14 3 0 0 NaN 0.00
Manipur 2 0 0.00 1 50.00 1 0 0 NaN 0.00
Tripura 2 0 0.00 1 50.00 1 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Mizoram 1 0 0.00 0 0.00 1 0 0 NaN 0.00
Nagaland 1 0 0.00 0 0.00 1 0 0 NaN 0.00
Dadra and Nagar Haveli 0 0 NaN 0 NaN 0 0 0 NaN NaN
Daman and Diu 0 0 NaN 0 NaN 0 0 0 NaN NaN
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 264155 66236 855 1.31 25.07 10342 922 34497 12213 18.44
Emilia-Romagna 124916 22560 376 1.69 18.06 3166 289 13552 3023 13.40
Piemonte 96569 21057 593 2.90 21.81 3201 305 14470 2331 11.07
Veneto 255797 15935 243 1.55 6.23 1264 184 10210 1087 6.82
Toscana 103975 8372 135 1.64 8.05 852 192 6496 637 7.61
Liguria 31551 6528 227 3.60 20.69 885 101 3490 928 14.22
Marche 41474 5769 48 0.84 13.91 799 86 3182 807 13.99
Lazio 91807 5755 87 1.53 6.27 1370 185 4321 341 5.93
Campania 48187 4029 41 1.03 8.36 590 61 3022 304 7.55
P.A. Trento 24388 3532 101 2.94 14.48 278 41 1971 360 10.19
Puglia 42598 3529 120 3.52 8.28 590 60 2786 316 8.95
Friuli Venezia Giulia 44622 2745 14 0.51 6.15 140 25 1337 225 8.20
Sicilia 49772 2717 45 1.68 5.46 522 41 2202 200 7.36
Abruzzo 27791 2521 34 1.37 9.07 317 40 1987 258 10.23
P.A. Bolzano 30361 2380 55 2.37 7.84 162 23 1566 245 10.29
Umbria 25170 1348 4 0.30 5.36 108 30 436 58 4.30
Sardegna 14859 1215 17 1.42 8.18 117 22 864 86 7.08
Valle d’Aosta 4677 1088 15 1.40 23.26 102 10 562 125 11.49
Calabria 23760 1035 24 2.37 4.36 142 6 844 75 7.25
Basilicata 6528 342 3 0.88 5.24 59 8 247 24 7.02
Molise 3584 279 10 3.72 7.78 27 4 215 17 6.09

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 17950 429 2.45 820 132 19.19 4.57 2102.45 96.04 1 in 476
Ontario 11561 548 4.98 591 27 4.79 5.11 785.83 40.17 1 in 1273
Alberta 2803 241 9.41 51 0 0.00 1.82 635.15 11.56 1 in 1574
British Columbia 1647 29 1.79 81 3 3.85 4.92 322.25 15.85 1 in 3103
Nova Scotia 675 26 4.01 9 2 28.57 1.33 690.57 9.21 1 in 1448
Saskatchewan 315 2 0.64 4 0 0.00 1.27 266.57 3.39 1 in 3751
Newfoundland and Labrador 257 0 0.00 3 0 0.00 1.17 492.94 5.75 1 in 2029
Manitoba 254 1 0.40 5 0 0.00 1.97 184.39 3.63 1 in 5423
New Brunswick 118 1 0.85 0 0 NaN 0.00 151.28 0.00 1 in 6610
Prince Edward Island 26 0 0.00 0 0 NaN 0.00 164.39 0.00 1 in 6083
Yukon 9 0 0.00 0 0 NaN 0.00 219.10 0.00 1 in 4564
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68128 4512 6.62
Guangdong 1580 8 0.51
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1025 4 0.39
Hunan 1019 4 0.39
Anhui 991 6 0.61
Jiangxi 937 1 0.11
Heilongjiang 898 13 1.45
Shandong 787 7 0.89
Jiangsu 653 0 0.00
Shanghai 635 7 1.10
Beijing 593 8 1.35
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 355 1 0.28
Hebei 328 6 1.83
Shaanxi 256 3 1.17
Guangxi 254 2 0.79
Shanxi 197 0 0.00
Inner Mongolia 193 1 0.52
Tianjin 189 3 1.59
Yunnan 184 2 1.09
Hainan 168 6 3.57
Guizhou 147 2 1.36
Liaoning 146 2 1.37
Gansu 139 2 1.44
Jilin 104 1 0.96
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 2319.94 124.27 1 in 431
Spain 4257.91 438.34 1 in 235
Italy 2959.19 391.20 1 in 338
France 2300.30 294.73 1 in 435
Germany 1753.64 55.39 1 in 570
United Kingdom 1823.78 242.25 1 in 548
Turkey 1068.01 24.96 1 in 936
China 60.47 3.34 1 in 16538
Iran 1012.95 63.06 1 in 987
Russia 296.56 2.50 1 in 3372
Brazil 184.68 11.76 1 in 5415
Belgium 3376.84 498.51 1 in 296
Canada 947.94 41.61 1 in 1055
Netherlands 1911.41 215.19 1 in 523
Switzerland 3236.87 162.54 1 in 309
Portugal 1963.65 69.39 1 in 509
India 13.16 0.42 1 in 76015
Peru 485.79 12.43 1 in 2058
Ireland 3157.56 126.29 1 in 317
Austria 1671.84 51.24 1 in 598

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 138700 14451 10.42
Nassau New York 30013 1109 3.70
Suffolk New York 26888 693 2.58
Westchester New York 23803 668 2.81
Cook Illinois 21272 877 4.12
Wayne Michigan 13692 1119 8.17
Bergen New Jersey 12639 767 6.07
Los Angeles California 12341 600 4.86
Hudson New Jersey 10486 612 5.84
Essex New Jersey 10304 740 7.18
Union New Jersey 9609 372 3.87
Rockland New York 9364 334 3.57
Miami-Dade Florida 9354 207 2.21
Philadelphia Pennsylvania 9214 365 3.96
Middlesex Massachusetts 8737 372 4.26
Passaic New Jersey 8288 250 3.02
Suffolk Massachusetts 8074 236 2.92
Middlesex New Jersey 8017 329 4.10
Fairfield Connecticut 7434 447 6.01
Orange New York 6514 211 3.24
Oakland Michigan 6109 471 7.71
Orleans Louisiana 6000 329 5.48
Jefferson Louisiana 5592 282 5.04
King Washington 5174 346 6.69
Essex Massachusetts 5153 209 4.06
New Haven Connecticut 4871 257 5.28
Harris Texas 4823 75 1.56
Monmouth New Jersey 4669 226 4.84
Ocean New Jersey 4648 217 4.67
Macomb Michigan 4360 391 8.97
Morris New Jersey 4136 257 6.21
Broward Florida 3971 115 2.90
Marion Indiana 3889 192 4.94
Norfolk Massachusetts 3789 244 6.44
Hartford Connecticut 3351 295 8.80
Prince George’s Maryland 3345 105 3.14
Worcester Massachusetts 3069 114 3.71
Providence Rhode Island 3014 3 0.10
Clark Nevada 2940 137 4.66
Montgomery Pennsylvania 2913 164 5.63
Plymouth Massachusetts 2832 131 4.63
District of Columbia District of Columbia 2793 96 3.44
Riverside California 2638 75 2.84
Maricopa Arizona 2589 75 2.90
Montgomery Maryland 2507 96 3.83
Delaware Pennsylvania 2460 91 3.70
Dallas Texas 2428 60 2.47
Mercer New Jersey 2395 113 4.72
Somerset New Jersey 2384 158 6.63
Hampden Massachusetts 2337 211 9.03

Overall US Choropleth Map

Choropleths are an ideal way to visualize the COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs 

## [1] "End of Report"

Data Sources: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc